Abstract
With a rapid evolution of mobile devices, the idea of context awareness has gained a remarkable popularity in recent years. Modern smartphones and tablets are equipped with a variety of sensors including accelerometers, gyroscopes, pressure gauges, light and GPS sensors. Additionally, the devices become computationally powerful which allows real-time processing of data gathered by their sensors. Universal access to the Internet via WiFi hot-spots and GSM network makes mobile devices perfect platforms for ubiquitous computing. Although there exist numerous frameworks for context-aware systems, they are usually dedicated to static, centralized, client-server architectures. There is still space for research in a field of context modeling and reasoning for mobile devices. In this paper, we propose a lightweight context-aware framework for mobile devices that uses data gathered by mobile device sensors and perform on-line reasoning about possible threats, based on the information provided by the Social Threat Monitor system developed in the INDECT project.
The research presented in this paper is carried out within the EU FP7 INDECT Project: ”Intelligent information system supporting observation, searching and detection for security of citizens in urban environment” ( http://indect-project.eu ).
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Adrian, W.T., Bobek, S., Nalepa, G.J., Kaczor, K., Kluza, K.: How to reason by HeaRT in a semantic knowledge-based wiki. In: Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011. pp. 438–441. Boca Raton, Florida, USA (November 2011)
Adrian, W.T., Ciężkowski, P., Kaczor, K., Ligęza, A., Nalepa, G.J.: Web-based knowledge acquisition and management system supporting collaboration for improving safety in urban environment. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2012. CCIS, vol. 287, pp. 1–12. Springer, Heidelberg (2012), http://springerlink.bibliotecabuap.elogim.com/book/10.1007/978-3-642-30721-8/page/1
Adrian, W.T., Waliszko, J., Ligęza, A., Nalepa, G.J., Kaczor, K.: Description logic reasoning in an ontology-based system for citizen safety in urban environment. In: Mercier-Laurent, E., et al. (eds.) AI4KM 2012: 1st International Workshop on Artificial Intelligence for Knowledge Management at the Biennial European Conference on Artificial Intelligence (ECAI 2012), Montpellier, France, August 28, pp. 63–67 (2012)
Bobek, S.: Heart rule inference engine in intelligent systems. PAR Pomiary Automatyka Robotyka 15(12), 226–228 (2011) ISSN 1427-9126
Bui, H.H., Venkatesh, S., West, G.A.W.: Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model. IJPRAI 15(1), 177–195 (2001), http://dblp.uni-trier.de/db/journals/ijprai/ ijprai15.html#BuiVW01
Chen, H., Finin, T.W., Joshi, A.: Semantic web in the context broker architecture. In: PerCom, pp. 277–286. IEEE Computer Society (2004)
Chen, H., Perich, F., Finin, T.W., Joshi, A.: Soupa: Standard ontology for ubiquitous and pervasive applications. In: 1st Annual International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2004), Networking and Services, Cambridge, MA, USA, August 22-25, pp. 258–267. IEEE Computer Society (2004)
Dey, A.K.: Understanding and using context. Personal Ubiquitous Comput. 5(1), 4–7 (2001)
Dey, A.K.: Modeling and intelligibility in ambient environments. J. Ambient Intell. Smart Environ. 1(1), 57–62 (2009)
Dey, A.K.: Providing architectural support for building context-aware applications. Ph.D. thesis, Atlanta, GA, USA (2000), aAI9994400
Gu, T., Pung, H.K., Zhang, D.Q., Wang, X.H.: A middleware for building context-aware mobile services. In: Proceedings of IEEE Vehicular Technology Conference (VTC) (2004)
Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Mattern, F., Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002), http://dl.acm.org/citation.cfm?id=646867.706693
Hu, D.H., Dong, F., li Wang, C.: A semantic context management framework on mobile device âĹŮ
Jaroucheh, Z., Liu, X., Smith, S.: Recognize contextual situation in pervasive environments using process mining techniques. J. Ambient Intelligence and Humanized Computing 2(1), 53–69 (2011)
Kluza, K., Maślanka, T., Nalepa, G.J., Ligęza, A.: Proposal of representing BPMN diagrams with XTT2-based business rules. In: Brazier, F.M.T., Nieuwenhuis, K., Pavlin, G., Warnier, M., Badica, C. (eds.) Intelligent Distributed Computing V. SCI, vol. 382, pp. 243–248. Springer, Heidelberg (2011), http://www.springerlink.com/content/d44n334p05772263/
Ligęza, A., Adrian, W.T., Ciężkowski, P.: Towards collaborative knowledge engineering for improving local safety in urban environment. In: Canadas, J., Nalepa, G.J., Baumeister, J. (eds.) 8th Workshop on Knowledge Engineering and Software Engineering (KESE 2012) at the at the biennial European Conference on Artificial Intelligence (ECAI 2012), Montpellier, France, August 28, pp. 58–61 (2012), http://ceur-ws.org/Vol-949/
Ligęza, A., Nalepa, G.J.: A study of methodological issues in design and development of rule-based systems: proposal of a new approach. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1(2), 117–137 (2011)
Logan, B., Healey, J., Philipose, M., Tapia, E.M., Intille, S.S.: A long-term evaluation of sensing modalities for activity recognition. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 483–500. Springer, Heidelberg (2007), http://dl.acm.org/citation.cfm?id=1771592.1771620
Loke, S.W.: Representing and reasoning with situations for context-aware pervasive computing: a logic programming perspective. Knowl. Eng. Rev. 19(3), 213–233 (2004), http://dx.doi.org/10.1017/S0269888905000263
Nalepa, G.J., Bobek, S., Ligęza, A., Kaczor, K.: Algorithms for rule inference in modularized rule bases. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2011 - Europe. LNCS, vol. 6826, pp. 305–312. Springer, Heidelberg (2011)
Nalepa, G.J., Bobek, S., Ligęza, A., Kaczor, K.: HalVA - rule analysis framework for XTT2 rules. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2011 - Europe. LNCS, vol. 6826, pp. 337–344. Springer, Heidelberg (2011), http://www.springerlink.com/content/c276374nh9682jm6/
Nalepa, G.J.: Architecture of the HeaRT hybrid rule engine. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS, vol. 6114, pp. 598–605. Springer, Heidelberg (2010)
Nalepa, G.J., Kluza, K.: UML representation for rule-based application models with XTT2-based business rules. International Journal of Software Engineering and Knowledge Engineering (IJSEKE) 22(4), 485–524 (2012), http://www.worldscientific.com/doi/abs/10.1142/S021819401250012X
Nalepa, G.J., Ligęza, A., Kaczor, K.: Formalization and modeling of rules using the XTT2 method. International Journal on Artificial Intelligence Tools 20(6), 1107–1125 (2011)
Ranganathan, A., Campbell, R.H.: An infrastructure for context-awareness based on first order logic. Personal Ubiquitous Comput. 7(6), 353–364 (2003), http://dx.doi.org/10.1007/s00779-003-0251-x
Ranganathan, A., McGrath, R.E., Campbell, R.H., Mickunas, M.D.: Use of ontologies in a pervasive computing environment. Knowl. Eng. Rev. 18(3), 209–220 (2003)
Szpyrka, M.: Design and analysis of rule-based systems with adder designer. In: Cotta, C., Reich, S., Schaefer, R., Ligęza, A. (eds.) Knowledge-Driven Computing: knowledge engineering and intelligent computations. SCI, vol. 102, pp. 255–271. Springer, Heidelberg (2008)
Szpyrka, M., Szmuc, T.: Decision tables in petri net models. In: Kryszkiewicz, M., Peters, J.F., Rybiński, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 648–657. Springer, Heidelberg (2007)
Waliszko, J., Adrian, W.T., Ligęza, A.: Traffic danger ontology for citizen safety web system. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2011. CCIS, vol. 149, pp. 165–173. Springer, Heidelberg (2011)
Wang, X., Zhang, D., Gu, T., Pung, H.K.: Ontology based context modeling and reasoning using owl. In: PerCom Workshops, pp. 18–22 (2004)
Ye, J., Coyle, L., Dobson, S.A., Nixon, P.: Representing and manipulating situation hierarchies using situation lattices. Revue d Intelligence Artificielle 22(5), 647–667 (2008)
Ye, J., Dobson, S.: Exploring semantics in activity recognition using context lattices. J. Ambient Intell. Smart Environ. 2(4), 389–407 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bobek, S., Nalepa, G.J., Adrian, W.T. (2013). Mobile Context-Based Framework for Monitoring Threats in Urban Environment. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2013. Communications in Computer and Information Science, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38559-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-38559-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38558-2
Online ISBN: 978-3-642-38559-9
eBook Packages: Computer ScienceComputer Science (R0)